Research Scientist Intern, Agentic AI Job at Meta (Bellevue)

Research Scientist Intern, Real-Time Multimodal AI

Reality Labs is building the future of connection through world-class AR/VR hard...

Location

United States , Burlingame

Salary:

7650.00 - 12134.00 USD / Month

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Machine Learning, Electrical Engineering, or a related field
2+ years of research experience in one or more of the following areas: multimodal learning, vision-language models, large language models, or foundation model fine-tuning
Hands-on experience fine-tuning large foundation models (e.g., LLaVA, InternVL, Qwen-VL, LLaMA, or similar)
Strong programming skills in Python
Experience with deep learning frameworks such as PyTorch
Excellent communication skills and ability to work independently
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Job Responsibility

Research and develop novel approaches for fine-tuning large multimodal foundation models (vision-language, audio-visual) for real-time applications
Design and implement efficient inference pipelines for deploying fine-tuned models in real-time communication scenarios
Explore agentic architectures that leverage fine-tuned models as tools within larger AI systems
Collaborate with cross-functional teams to integrate models into prototype experiences
Document and present research progress with the goal of publishing findings at top-tier ML/CV conferences
Contribute to building working prototypes that demonstrate the capabilities of fine-tuned multimodal models

Ai Applied Scientist - Phd Intern, Next-Gen Agentic And Multi-Modal Home Exploration Experience

Are you passionate about creating AI agents capable of reasoning, planning, and ...

Location

United States

Salary:

104000.00 - 166000.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

Currently enrolled in a PhD program in computer science, NLP, machine learning, or a related field, with solid publication record
Background in at least one of the following areas: Human computer interaction (HCI)
User behavior research in the context of agentic AI
Agentic AI (tool use, planning, reasoning, decision-making)
Conversational AI and dialogue optimization
Multi-modal inference models with focus on combining 3D Computer Vision and LLMs
Multi-agent systems and orchestration
Memory systems and context engineering
Reinforcement learning and reward modeling
Familiarity with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers)

Job Responsibility

Personalized and Guided Home Exploration: An agentic approach that proactively guides and helps users navigate millions of listings to identify the best homes, the experience should be highly engaging, fun and goal oriented
Conversational Optimization: Enhanced multi-turn conversations with effective context management and improved dialogue quality, achieved through organized data from retrieved results
Multi-modal Collaboration System: A combination of 3D computer vision (utilizing 3D reconstructions and Gaussian splats) and LLM interfaces, powered by conversational AI

Fulltime

AI Applied Scientist - PhD Intern, Next-Gen Agentic and Multi-Modal Home Exploration Experience

Are you passionate about creating AI agents capable of reasoning, planning, and ...

Location

United States

Salary:

104000.00 - 166000.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

Currently enrolled in a PhD program in computer science, NLP, machine learning, or a related field, with solid publication record
Background in at least one of the following areas: Human computer interaction (HCI)
User behavior research in the context of agentic AI
Agentic AI (tool use, planning, reasoning, decision-making)
Conversational AI and dialogue optimization
Multi-modal inference models with focus on combining 3D Computer Vision and LLMs
Multi-agent systems and orchestration
Memory systems and context engineering
Reinforcement learning and reward modeling
Familiarity with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers)

Job Responsibility

Use expertise in Agentic systems, conversational AI, LLMs, and multi-modal inference to advance customer-facing experiences and interfaces
Build AI agents capable of handling complex, rich media oriented, multi-turn interactions while maintaining context and taking appropriate actions
Develop the next-generation real estate shopping experience that integrates Agentic and Multi-modal reasoning

Fulltime

Research Scientist Intern, 3D Computer Vision and Generative AI (PhD)

Meta Reality Labs focuses on delivering Meta's vision through Virtual Reality (V...

Location

Switzerland , Zurich

Salary:

Not provided

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Statistics, or related field
2+ years of research experience in Generative AI, Agentic AI or Visual Language Models
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Job Responsibility

Research and develop new agentic methods for Spatial AI that leverage multiple LLMs/VLMs to answer natural language spatial queries
Present the outcomes of research findings as papers in top tier conferences in the area of CV and Machine Learning
Collaborate with and support other researchers across various disciplines

Senior AI Research Scientist

Workato transforms technology complexity into business opportunity. As the leade...

Location

United States , San Francisco

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

MS/PhD in Computer Science, ML, or related field—or equivalent experience
Hands‑on with PyTorch/JAX and modern LLM frameworks
Strong publication record in top-tier ML venues (NeurIPS, ICML, ICLR) or demonstrable impactful experimental work
hands‑on experience with large‑scale model training, transformer architectures, reinforcement‑learning techniques, and CUDA
Curiosity‑driven and self‑directed
Ability to explain complex ideas to non‑experts
Team player who welcomes feedback and knowledge‑sharing

Job Responsibility

Explore workflow‑aware planning, cost‑optimised RAG, tool‑use evaluation, and multi‑agent collaboration
Prototype and benchmark models
present findings internally and externally
Collaborate with Product & Engineering to ship research‑backed features
Contribute to open‑source repos and author technical blogs

What we offer

vibrant and dynamic work environment
multitude of benefits they can enjoy inside and outside of their work lives